DataTV: Streaming Data Videos for Storytelling
October 15, 2022 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Zhenpeng Zhao, Niklas Elmqvist
arXiv ID
2210.08175
Category
cs.HC: Human-Computer Interaction
Citations
5
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Data videos -- motion graphics that incorporate visualizations -- have been recognized as an effective way to communicate ideas, but creating such video requires both time and expertise, precluding them from being created and streamed live. We introduce DataTV, a system for combining multiple media sources in real time. We validate our work through an expert review involving researchers using the DataTV prototype to create a one-minute data video for their current project. Results show that the new method facilitates rapid creation and enables users to focus on the narrative rather than mechanics of video production.
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